New device captures oral lesions with dual imaging

A smartphone-based imaging system called mDOC has been evaluated for its ability to help dentists identify suspicious oral lesions early. The system captures both white light and autofluorescence images of the oral cavity, revealing tissue changes not visible under standard lighting. It also collects patient risk factors such as age, smoking history, and lesion location, then uses this information to recommend whether specialist evaluation is needed. The imaging process takes approximately 3.5 minutes, making it feasible to integrate into routine dental visits.

Detection performance and clinical limitations

In a study of 50 patients at UTHealth Houston School of Dentistry and Harris Health Dental Center, the mDOC system was compared with assessments from dental hygienists, general dentists, and expert clinicians. The system detected more potentially dangerous lesions than the dentists and hygienists examined without imaging support. However, it correctly identified only 60% of lesions that experts recommended for referral, showing moderate sensitivity. The system produced several false positives, indicating room for improvement. Notably, unaided clinicians in the study identified none of the cases requiring referral, suggesting that adjunctive imaging tools may enhance detection in routine practice. The researchers emphasize that the system should complement, not replace, clinical judgment.

Potential for underserved communities

According to lead author Dr Ruchika Mitbander, early oral cancer detection is essential because survival rates decline as the disease progresses. In community dental settings, particularly in underserved or low-resource regions, providers often lack reliable tools for identifying lesions requiring specialist referral. The mDOC system offers a portable, dual-mode imaging device that integrates multiple data inputs into a single decision support tool. Beyond screening, it may support monitoring of existing lesions and could be combined with additional diagnostic methods such as cytology in settings with limited specialist access. The study was published online on 6 October 2025 in Biophotonics Discovery.